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Generative AI-Assisted Nursing Handover: Enhancing Clinical Data Integration and Work Efficiency

  • 0Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.
Studies in Health Technology and Informatics +

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August 8, 2025

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August 8, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Generative AI significantly reduced nursing handover documentation time by over 99% in a three-hospital study. This automation offers a practical solution to decrease nursing workload and enhance efficiency.

Area Of Science

  • Healthcare Informatics
  • Artificial Intelligence in Medicine
  • Nursing Workflow Optimization

Background

  • Nursing handover is critical for patient safety but time-consuming.
  • Inefficient documentation contributes to significant nursing workload.
  • Current handover processes may lack standardization and efficiency.

Purpose Of The Study

  • To evaluate the effectiveness of generative AI in automating nursing handover documentation.
  • To assess the impact of AI integration on documentation time and nursing efficiency.
  • To determine the practicality and scalability of AI-driven handover solutions.

Main Methods

  • Implementation of a generative AI system integrated with existing nursing information systems.
  • Deployment across three hospitals within the TMU Health network.
  • Quantitative analysis of documentation time before and after AI implementation.

Main Results

  • Documentation time was reduced by over 99% post-AI integration.
  • The AI system demonstrated practicality and scalability in real-world hospital settings.
  • Significant improvements in nursing efficiency were observed.

Conclusions

  • Generative AI provides a highly effective solution for automating nursing handover documentation.
  • AI integration can substantially alleviate nursing workload and improve operational efficiency.
  • The developed system represents a promising advancement for healthcare informatics and nursing practice.

Keywords:

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